Privacy and confidentiality in process mining: Threats and research challenges

G Elkoumy, SA Fahrenkrog-Petersen, MF Sani… - ACM Transactions on …, 2021 - dl.acm.org
Privacy and confidentiality are very important prerequisites for applying process mining to
comply with regulations and keep company secrets. This article provides a foundation for …

A review on effective alarm management systems for industrial process control: barriers and opportunities

FE Mustafa, I Ahmed, A Basit, SH Malik… - International Journal of …, 2023 - Elsevier
The effective robust management of plant requires the implementation of industrial alarm
systems in a very significant capacity. The core objective of alarms is to warn the operator of …

Prescriptive process monitoring: Quo vadis?

K Kubrak, F Milani, A Nolte, M Dumas - PeerJ Computer Science, 2022 - peerj.com
Prescriptive process monitoring methods seek to optimize a business process by
recommending interventions at runtime to prevent negative outcomes or address poorly …

Prescriptive business process monitoring for recommending next best actions

S Weinzierl, S Dunzer, S Zilker, M Matzner - International conference on …, 2020 - Springer
Predictive business process monitoring (PBPM) techniques predict future process behaviour
based on historical event log data to improve operational business processes. Concerning …

From process mining to augmented process execution

D Chapela-Campa, M Dumas - Software and Systems Modeling, 2023 - Springer
Business process management (BPM) is a well-established discipline comprising a set of
principles, methods, techniques, and tools to continuously improve the performance of …

Predicting performances in business processes using deep neural networks

G Park, M Song - Decision Support Systems, 2020 - Elsevier
Online operational support is gaining increasing interest due to the availability of real-time
data and sufficient computing power, such as predictive business process monitoring …

Triggering proactive business process adaptations via online reinforcement learning

A Metzger, T Kley, A Palm - International Conference on Business Process …, 2020 - Springer
Proactive process adaptation can prevent and mitigate upcoming problems during process
execution by using predictions about how an ongoing case will unfold. There is an important …

Realizing a digital twin of an organization using action-oriented process mining

G Park, WMP Van Der Aalst - 2021 3rd international conference …, 2021 - ieeexplore.ieee.org
A Digital Twin of an Organization (DTO) is a mirrored representation of an organization,
aiming to improve the business process of the organization by providing a transparent view …

A visual approach to support process analysts in working with process improvement opportunities

K Kubrak, F Milani, A Nolte - Business Process Management Journal, 2023 - emerald.com
Purpose When improving business processes, process analysts can use data-driven
methods, such as process mining, to identify improvement opportunities. However, despite …

Action-oriented process mining: bridging the gap between insights and actions

G Park, WMP van der Aalst - Progress in Artificial Intelligence, 2022 - Springer
As business environments become more dynamic and complex, it becomes indispensable
for organizations to objectively analyze business processes, monitor the existing and …